The Social Web

2019-2020

Course Objective

In this course, students will:
- learn theory and methods concerning communication and interaction in a
Web context. (Knowledge and understanding) (Apply Knowledge and
Understanding)
- understand how distributed user data and devices work in the context
of the Social Web. (Knowledge and understanding)

Course Content

This course will cover theory, methods and techniques for:

- personalization for Web applications;
- Web user & context modelling;
- user-generated content and metadata;
- multi-device interaction;
- usage of social-web data.

Teaching Methods

- lectures
- practical sessions
- assignments including final paper

Method of Assessment

Weighted average of group assignments (A), group presentations (Pres),
and final individual paper (R).

Literature

- Course lecture slides;
- Selected articles, videos and Web links for each lecture.

Target Audience

MSc Artificial Intelligence
MSc Information Sciences
MSc Computer Science
MSc Parallel and Distributed Computer Systems

Recommended background knowledge

Basic programming skills.

General Information

Course Code X_405086
Credits 6 EC
Period P4
Course Level 400
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. D. Ceolin MSc
Examiner dr. D. Ceolin MSc
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Computer lab, Lecture
Target audiences

This course is also available as: